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Starting Salary
Median Salary
Top Earners
Job Growth
Professionals in USA

Career Overview

Cartographers collect, analyze, and visualize geographic data to create maps, charts, and digital spatial products. Using GIS software, remote sensing imagery, GPS data, and surveying records, they translate complex spatial information into clear, accurate, and visually effective representations. Their work supports everything from navigation apps and urban planning to environmental conservation, military operations, and emergency response.

Modern cartography is highly digital, blending design sensibility with data science, programming, and geospatial analysis. Cartographers work for government agencies, engineering and surveying firms, utilities, tech companies, and environmental organizations. The field rewards strong attention to detail, comfort with GIS tools like ArcGIS and QGIS, and increasingly, skills in Python, SQL, and web mapping, as demand shifts toward interactive and real-time mapping applications.

Salary Range (US, estimates)

Entry level$48,000
Median$75,000
Senior$102,000
Top 10%$125,000

Key Statistics

Job growth+5%
Professionals in the USA0.015 million
Typical hours/week40 hrs
Remote work share35%
Annual job openings1,300/yr
Demand3.7 / 10 (Low)

Education Paths

  • Required minimum: Bachelor's Degree in Geography, GIS, or Related Field — Most employers require a four-year degree in geography, geomatics, cartography, environmental science, or a related discipline, with coursework in GIS and spatial analysis.
  • Most common: Bachelor's in Geography/GIS plus Hands-On Software Experience — A bachelor's degree combined with portfolio projects and proficiency in ArcGIS, QGIS, and basic Python or SQL is the typical path into cartography and GIS roles. Internships with government or private mapping firms greatly improve hiring odds.
  • Accelerator: GIS Professional (GISP) Certification or Master's in Geospatial Science — The GISP credential or a graduate degree in GIS or geospatial science boosts credibility, opens senior and management roles, and can significantly increase earning potential.

Core Skills

  • GIS software proficiency (ArcGIS, QGIS)
  • Cartographic design and visual communication
  • Remote sensing and image interpretation
  • Spatial data analysis and databases (SQL, PostGIS)
  • Programming and scripting (Python, JavaScript)
  • Attention to detail and data quality assurance

Pros

  • Blends technical analysis with creative design work
  • Diverse industries to work in, including government, environmental, tech, urban planning, and logistics
  • Growing demand for spatial data skills in location-based services and climate work
  • Opportunities for remote or hybrid work and project-based flexibility

Cons

  • Entry-level production tasks are increasingly automated, raising competition
  • Can involve long hours of detail-oriented, screen-based work
  • Salaries may be modest relative to other tech and data roles unless you build advanced skills
  • Tight deadlines and data inconsistencies can make projects stressful

AI Impact on This Career

AI and machine learning are transforming cartography by automating feature extraction from satellite and aerial imagery, generating base maps, and updating datasets at scale. Routine digitizing and map production tasks are increasingly handled by algorithms, shifting the cartographer's role toward quality control, design, and data interpretation. The field is evolving rather than disappearing, but entry-level production roles are most exposed.

Automation exposure: Automated feature extraction (roads, buildings, land cover) from imagery, auto-generalization of map features, routine map tile generation and styling, label placement, and basic data cleaning and updating of geospatial databases are increasingly automated by AI and GIS software.

The human edge: Cartographers bring design judgment, audience-specific communication, ethical decisions about what to show or omit, handling of politically sensitive boundaries, validation of ambiguous or erroneous AI output, and the ability to translate complex spatial data into clear, persuasive visual stories. Domain expertise and accountability for accuracy remain human responsibilities.

Figures are estimates for exploration — verify current data with BLS.gov.